In this chapter, we learned what a decision tree is and two broad classes of creating ensembles from the decision trees. The ensembles we took a look at were random forests and gradient boosting trees.
We also learned about the Kepler dataset from Kaggle competitions. We used the Kepler dataset to build an exoplanet detection model using TensorFlow's prebuilt estimator for gradient boosting trees known as the BoostedTreesClassifier. The BoostedTreesClassifier estimator is part of the machine learning toolkit recently released by the TensorFlow team. As for now, the TensorFlow team is working on releasing prebuilt estimators based on support vector machine (SVM) and extreme random forests as part of the tf.estimators API.
In the next chapter, we shall learn how to use TensorFlow in the browser using the TensorFlow.js API for sentiment analysis.
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